ADS-B IN-based UAV collision avoidance study in converged airspace
Based on the future development trend of Unmanned Aerial Vehicles(UAVs)integrating into the national airspace system,and in response to the increasing collision risk between UAVs and manned aircraft due to the growing number of UAVs,following the advantages and characteristics of high update rate and low energy consumption of ADS-B IN,it is considered to install it on UAVs with high maneuverability.This proposal aims to use ADS-B IN for collision detection and resolution in the fused airspace.In this model,safety and protection zones for manned aircraft are defined based on specific aircraft parameters.Criteria for determining the potential collision risk and the completion conditions for collision resolution are established based on the magnitude and direction of the relative velocity between the two aircraft.Following the principles of minimal maneuvering and the quickest resolution,the UAV carries out real-time detection in the airspace and actively avoids potential conflicts with manned aircraft.During the avoidance process,three kinds of relief strategies,namely speed relief,heading relief,and a combination of speed and heading relief,are respectively considered.All three relief strategies are designed to make the relative speeds coincide with the boundaries of collision cones.In practical scenarios,the model takes into account the influence of wind on aircraft speed and heading at the same time,and the wind speed correction is carried out.In the article,three operation scenarios are set up for simulation experiments,and the final results of the simulation satisfy the requirement of minimum safety interval.Additionally,to further verify the superiority and reliability of the model and ensure the model's advancement,another choice is conducted to compare the simulation with the traditional artificial potential field method.Both results confirm the reliability and superiority of the model,which can be used in the future to release fusion operation and reduce the workload of controllers as well as enhance the overall safety of the airspace.
NETL
NSTL
万方数据
